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Data-Intensive Investigations of English -

Data-Intensive Investigations of English

Buch | Hardcover
250 Seiten
2025
Cambridge University Press (Verlag)
978-1-009-41571-2 (ISBN)
CHF 179,95 inkl. MwSt
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Illustrated with case studies throughout, this book shows that digital tools can provide exciting, novel answers to old questions in English linguistics. With an emphasis on methodological transparency, this book is essential reading for both scholars and students working in English linguistics, especially those using data-intensive approaches.
In this collection of innovative and original articles, an international team of scholars demonstrate the newest technological trends and data-intensive technologies in the empirical study of English linguistics. Through a range of in-depth case studies, it advocates for the use of advanced technologies and digital tools to enable study in this ever-evolving field. To achieve optimal coherence across the volume, each chapter answers a core question: 'How can data-intensive and computational methods help scholars answer research questions that are solidly grounded in the theoretical foundations of English linguistics?' Digitalization is expected to accelerate, and this development will continue to impact research in the humanities. This volume fills in a clear gap and will drive empirical linguistic research forward, by introducing a variety of innovative techniques and tools that not only offer new answers to old questions in English linguistics but also open up exciting new research questions in the field.

Mikko Laitinen is Professor of English at the University of Eastern Finland. He is an elected member of the Finnish Academy of Sciences and Letters and one of the leaders in the national research infrastructure for digital humanities, FIN-CLARIAH. His research focuses on language change in digital social networks, and he is the principal investigator of 'Weak-Tie Hypothesis in Complex Digital Networks' (COMET), a project funded by the Research Council of Finland. Paula Rautionaho is Senior Researcher at the School of Humanities, University of Eastern Finland. Her research focuses on grammatical alternations in World Englishes and recent British English. She has coedited two volumes in John Benjamin's Studies in Corpus Linguistics series and Routledge's Studies in Sociolinguistics series.

1. Data-intensive approaches to English linguistics Mikko Laitinen, Paula Rautionaho and Irene Taipale; 2. What big data tells us about American English phonetics William A. Kretzschmar, Michael Olsen, Rachel Olsen and Katherine Ireland; 3. Do you reckon? Creating and testing a corpus of spoken southern American English from the digital archive of Southern speech (1970–1983) Keiko Bridwell and Katherine Ireland; 4. 'Scots for the masses'?: Utilising a novel data-analysis facility to statistically explore late modern Scots in the digitised chapbooks collection Sarah van Eyndhoven, Lisa Gotthard and Rosa Filgueira; 5. Combining collocation measures and distributional semantics to detect idioms Gerold Schneider; 6. Using data-intensive methods for unlocking expressiveness in word-formation: the case of English name blending Sabine Arndt-Lappe, Natalia Beliaeva and Audrey Martin; 7. Modals of future time reference across native and non-native Englishes: a variationist analysis Paula Rautionaho and Lea Meriläinen; 8. Bayesian multivariate analysis of complement selection: subject-control complements of the verb Fear Juho Ruohonen and Juhani Rudanko; 9. Statistical modelling of syntactic complexity of English academic texts: syntactic predictors of rhetorical sections Maryam Nasseri; 10. Implications of the replication crisis: some suggestions to improve reproducibility and transparency in data-intensive corpus linguistics Martin Schweinberger.

Erscheint lt. Verlag 31.1.2026
Reihe/Serie Studies in English Language
Zusatzinfo Worked examples or Exercises
Verlagsort Cambridge
Sprache englisch
Gewicht 500 g
Themenwelt Geisteswissenschaften Sprach- / Literaturwissenschaft Sprachwissenschaft
Informatik Datenbanken Data Warehouse / Data Mining
Sozialwissenschaften Kommunikation / Medien Buchhandel / Bibliothekswesen
ISBN-10 1-009-41571-9 / 1009415719
ISBN-13 978-1-009-41571-2 / 9781009415712
Zustand Neuware
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